University of Technology, Sydney

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36104 Data Visualisation and Narratives

8cp; 25hrs on campus: 3 x 3hrs (evening session 6–9pm); 2 x all-day (block 9am–5pm) plus online activities throughout the non-campus weeks ; availability: Master of Data Science and Innovation students only
Requisite(s): 36100 Data Science for Innovation AND 36106 Data, Algorithms and Meaning AND 36103 Statistical Thinking for Data Science
These requisites may not apply to students in certain courses.
There are course requisites for this subject. See access conditions.

Requisite elaboration/waiver:

Any student wishing to enrol in first- and second-year subjects concurrently, needs to apply for a waiver.


Postgraduate

Notes

This subject requires attendance at the evening and Saturday sessions, which form important parts of assessed work.

Description

This subject engages students in the power of narrative and visualisation as 'person-centred’ methods for sense making around data. Students explore a range of techniques and open source technologies for visualising different types of data, that could include medical, open government, accounting, business, scientific, satellite, and historical data as a means of generating new insights. Students experiment with and evaluate different methods for communicating insights to a range of stakeholders and domain experts in a chosen field. Through investigating different narrative approaches to 'tell the story', students hone their skills to succinctly and persuasively communicate descriptions of phenomena studied in the data set as well as confidently justify their findings.

Typical availability

Autumn session, City campus
Spring session, City campus


Detailed subject description.

Access conditions

Note: The requisite information presented in this subject description covers only academic requisites. Full details of all enforced rules, covering both academic and admission requisites, are available at access conditions and My Student Admin.